{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import geopandas as gpd \n",
    "import matplotlib.pyplot as plt\n",
    "from shapely.geometry import Polygon,Point,shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 导入数据\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fpath = r'D:\\Python\\Code\\Study2022\\交通大数据demo\\pygeo-tutorial\\shapefile\\sz.shp'\n",
    "fpath1 = r'D:\\Python\\Code\\Study2022\\交通统计\\shapefile\\sz_grid\\sz_grid.shp'\n",
    "sz =gpd.GeoDataFrame.from_file(filename=fpath,encoding='utf-8')\n",
    "sz_grid = gpd.GeoDataFrame.from_file(filename=fpath1)\n",
    "sz.plot()\n",
    "sz_grid.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LONCOL</th>\n",
       "      <th>LATCOL</th>\n",
       "      <th>HBLON</th>\n",
       "      <th>HBLAT</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.688405</td>\n",
       "      <td>POLYGON ((113.74707 22.68616, 113.74707 22.690...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.692902</td>\n",
       "      <td>POLYGON ((113.74707 22.69065, 113.74707 22.695...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.697399</td>\n",
       "      <td>POLYGON ((113.74707 22.69515, 113.74707 22.699...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>57</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.701895</td>\n",
       "      <td>POLYGON ((113.74707 22.69965, 113.74707 22.704...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.706392</td>\n",
       "      <td>POLYGON ((113.74707 22.70414, 113.74707 22.708...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9000</th>\n",
       "      <td>179</td>\n",
       "      <td>15</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.513038</td>\n",
       "      <td>POLYGON ((114.61927 22.51079, 114.61927 22.515...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9001</th>\n",
       "      <td>179</td>\n",
       "      <td>16</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.517534</td>\n",
       "      <td>POLYGON ((114.61927 22.51529, 114.61927 22.519...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9002</th>\n",
       "      <td>179</td>\n",
       "      <td>17</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.522031</td>\n",
       "      <td>POLYGON ((114.61927 22.51978, 114.61927 22.524...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9003</th>\n",
       "      <td>179</td>\n",
       "      <td>18</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.526528</td>\n",
       "      <td>POLYGON ((114.61927 22.52428, 114.61927 22.528...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9004</th>\n",
       "      <td>179</td>\n",
       "      <td>19</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.531024</td>\n",
       "      <td>POLYGON ((114.61927 22.52878, 114.61927 22.533...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9005 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      LONCOL  LATCOL       HBLON      HBLAT  \\\n",
       "0          0      54  113.749504  22.688405   \n",
       "1          0      55  113.749504  22.692902   \n",
       "2          0      56  113.749504  22.697399   \n",
       "3          0      57  113.749504  22.701895   \n",
       "4          0      58  113.749504  22.706392   \n",
       "...      ...     ...         ...        ...   \n",
       "9000     179      15  114.621702  22.513038   \n",
       "9001     179      16  114.621702  22.517534   \n",
       "9002     179      17  114.621702  22.522031   \n",
       "9003     179      18  114.621702  22.526528   \n",
       "9004     179      19  114.621702  22.531024   \n",
       "\n",
       "                                               geometry  \n",
       "0     POLYGON ((113.74707 22.68616, 113.74707 22.690...  \n",
       "1     POLYGON ((113.74707 22.69065, 113.74707 22.695...  \n",
       "2     POLYGON ((113.74707 22.69515, 113.74707 22.699...  \n",
       "3     POLYGON ((113.74707 22.69965, 113.74707 22.704...  \n",
       "4     POLYGON ((113.74707 22.70414, 113.74707 22.708...  \n",
       "...                                                 ...  \n",
       "9000  POLYGON ((114.61927 22.51079, 114.61927 22.515...  \n",
       "9001  POLYGON ((114.61927 22.51529, 114.61927 22.519...  \n",
       "9002  POLYGON ((114.61927 22.51978, 114.61927 22.524...  \n",
       "9003  POLYGON ((114.61927 22.52428, 114.61927 22.528...  \n",
       "9004  POLYGON ((114.61927 22.52878, 114.61927 22.533...  \n",
       "\n",
       "[9005 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sz_grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 获取每个栅格的中心点坐标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      LONCOL  LATCOL       HBLON      HBLAT                    geometry\n",
      "0          0      54  113.749504  22.688405  POINT (113.74950 22.68841)\n",
      "1          0      55  113.749504  22.692902  POINT (113.74950 22.69290)\n",
      "2          0      56  113.749504  22.697399  POINT (113.74950 22.69740)\n",
      "3          0      57  113.749504  22.701895  POINT (113.74950 22.70190)\n",
      "4          0      58  113.749504  22.706392  POINT (113.74950 22.70639)\n",
      "...      ...     ...         ...        ...                         ...\n",
      "9000     179      15  114.621702  22.513038  POINT (114.62170 22.51304)\n",
      "9001     179      16  114.621702  22.517534  POINT (114.62170 22.51753)\n",
      "9002     179      17  114.621702  22.522031  POINT (114.62170 22.52203)\n",
      "9003     179      18  114.621702  22.526528  POINT (114.62170 22.52653)\n",
      "9004     179      19  114.621702  22.531024  POINT (114.62170 22.53102)\n",
      "\n",
      "[9005 rows x 5 columns]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sz_centroid = sz_grid.copy()\n",
    "sz_centroid['geometry'] = sz_grid.centroid\n",
    "print(sz_centroid)\n",
    "sz_centroid.plot(markersize=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sz_centroid = gpd.sjoin(sz_centroid,sz)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LONCOL</th>\n",
       "      <th>LATCOL</th>\n",
       "      <th>HBLON</th>\n",
       "      <th>HBLAT</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>centroid_x</th>\n",
       "      <th>centroid_y</th>\n",
       "      <th>qh</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.697399</td>\n",
       "      <td>POINT (113.74950 22.69740)</td>\n",
       "      <td>3</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>宝安</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>57</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.701895</td>\n",
       "      <td>POINT (113.74950 22.70190)</td>\n",
       "      <td>3</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>宝安</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.706392</td>\n",
       "      <td>POINT (113.74950 22.70639)</td>\n",
       "      <td>3</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>宝安</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.710888</td>\n",
       "      <td>POINT (113.74950 22.71089)</td>\n",
       "      <td>3</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>宝安</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>113.749504</td>\n",
       "      <td>22.715385</td>\n",
       "      <td>POINT (113.74950 22.71539)</td>\n",
       "      <td>3</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>宝安</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8998</th>\n",
       "      <td>179</td>\n",
       "      <td>13</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.504045</td>\n",
       "      <td>POINT (114.62170 22.50404)</td>\n",
       "      <td>8</td>\n",
       "      <td>114.502205</td>\n",
       "      <td>22.571337</td>\n",
       "      <td>大鹏</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8999</th>\n",
       "      <td>179</td>\n",
       "      <td>14</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.508541</td>\n",
       "      <td>POINT (114.62170 22.50854)</td>\n",
       "      <td>8</td>\n",
       "      <td>114.502205</td>\n",
       "      <td>22.571337</td>\n",
       "      <td>大鹏</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9000</th>\n",
       "      <td>179</td>\n",
       "      <td>15</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.513038</td>\n",
       "      <td>POINT (114.62170 22.51304)</td>\n",
       "      <td>8</td>\n",
       "      <td>114.502205</td>\n",
       "      <td>22.571337</td>\n",
       "      <td>大鹏</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9001</th>\n",
       "      <td>179</td>\n",
       "      <td>16</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.517534</td>\n",
       "      <td>POINT (114.62170 22.51753)</td>\n",
       "      <td>8</td>\n",
       "      <td>114.502205</td>\n",
       "      <td>22.571337</td>\n",
       "      <td>大鹏</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9002</th>\n",
       "      <td>179</td>\n",
       "      <td>17</td>\n",
       "      <td>114.621702</td>\n",
       "      <td>22.522031</td>\n",
       "      <td>POINT (114.62170 22.52203)</td>\n",
       "      <td>8</td>\n",
       "      <td>114.502205</td>\n",
       "      <td>22.571337</td>\n",
       "      <td>大鹏</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8537 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      LONCOL  LATCOL       HBLON      HBLAT                    geometry  \\\n",
       "2          0      56  113.749504  22.697399  POINT (113.74950 22.69740)   \n",
       "3          0      57  113.749504  22.701895  POINT (113.74950 22.70190)   \n",
       "4          0      58  113.749504  22.706392  POINT (113.74950 22.70639)   \n",
       "5          0      59  113.749504  22.710888  POINT (113.74950 22.71089)   \n",
       "6          0      60  113.749504  22.715385  POINT (113.74950 22.71539)   \n",
       "...      ...     ...         ...        ...                         ...   \n",
       "8998     179      13  114.621702  22.504045  POINT (114.62170 22.50404)   \n",
       "8999     179      14  114.621702  22.508541  POINT (114.62170 22.50854)   \n",
       "9000     179      15  114.621702  22.513038  POINT (114.62170 22.51304)   \n",
       "9001     179      16  114.621702  22.517534  POINT (114.62170 22.51753)   \n",
       "9002     179      17  114.621702  22.522031  POINT (114.62170 22.52203)   \n",
       "\n",
       "      index_right  centroid_x  centroid_y  qh  \n",
       "2               3  113.851387   22.679120  宝安  \n",
       "3               3  113.851387   22.679120  宝安  \n",
       "4               3  113.851387   22.679120  宝安  \n",
       "5               3  113.851387   22.679120  宝安  \n",
       "6               3  113.851387   22.679120  宝安  \n",
       "...           ...         ...         ...  ..  \n",
       "8998            8  114.502205   22.571337  大鹏  \n",
       "8999            8  114.502205   22.571337  大鹏  \n",
       "9000            8  114.502205   22.571337  大鹏  \n",
       "9001            8  114.502205   22.571337  大鹏  \n",
       "9002            8  114.502205   22.571337  大鹏  \n",
       "\n",
       "[8537 rows x 9 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "sz_centroid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 读取OD数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SLONCOL</th>\n",
       "      <th>SLATCOL</th>\n",
       "      <th>ELONCOL</th>\n",
       "      <th>ELATCOL</th>\n",
       "      <th>VehicleNum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>17</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>75</td>\n",
       "      <td>21</td>\n",
       "      <td>74</td>\n",
       "      <td>19</td>\n",
       "      <td>275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>63</td>\n",
       "      <td>18</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>74</td>\n",
       "      <td>19</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>65</td>\n",
       "      <td>17</td>\n",
       "      <td>63</td>\n",
       "      <td>18</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SLONCOL  SLATCOL  ELONCOL  ELATCOL  VehicleNum\n",
       "0       63       17       65       16         298\n",
       "1       75       21       74       19         275\n",
       "2       63       18       65       16         235\n",
       "3       76       21       74       19         173\n",
       "4       65       17       63       18         172"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD = pd.read_csv(r'D:\\Python\\Code\\Study2022\\交通大数据demo\\pygeo-tutorial\\data-sample\\taxi_od_grid.csv')\n",
    "OD.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对应起点重点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SLONCOL</th>\n",
       "      <th>SLATCOL</th>\n",
       "      <th>ELONCOL</th>\n",
       "      <th>ELATCOL</th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Sqh</th>\n",
       "      <th>Eqh</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>17</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>298</td>\n",
       "      <td>福田</td>\n",
       "      <td>福田</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>75</td>\n",
       "      <td>21</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>139</td>\n",
       "      <td>罗湖</td>\n",
       "      <td>福田</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>63</td>\n",
       "      <td>18</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>235</td>\n",
       "      <td>福田</td>\n",
       "      <td>福田</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>89</td>\n",
       "      <td>罗湖</td>\n",
       "      <td>福田</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>65</td>\n",
       "      <td>17</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>64</td>\n",
       "      <td>福田</td>\n",
       "      <td>福田</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189609</th>\n",
       "      <td>53</td>\n",
       "      <td>33</td>\n",
       "      <td>53</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>南山</td>\n",
       "      <td>龙华</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189610</th>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>49</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>南山</td>\n",
       "      <td>南山</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189611</th>\n",
       "      <td>49</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>龙华</td>\n",
       "      <td>龙华</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189612</th>\n",
       "      <td>48</td>\n",
       "      <td>65</td>\n",
       "      <td>37</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>光明</td>\n",
       "      <td>光明</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189613</th>\n",
       "      <td>56</td>\n",
       "      <td>63</td>\n",
       "      <td>48</td>\n",
       "      <td>66</td>\n",
       "      <td>1</td>\n",
       "      <td>龙华</td>\n",
       "      <td>光明</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>189614 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SLONCOL  SLATCOL  ELONCOL  ELATCOL  VehicleNum Sqh Eqh\n",
       "0            63       17       65       16         298  福田  福田\n",
       "1            75       21       65       16         139  罗湖  福田\n",
       "2            63       18       65       16         235  福田  福田\n",
       "3            76       21       65       16          89  罗湖  福田\n",
       "4            65       17       65       16          64  福田  福田\n",
       "...         ...      ...      ...      ...         ...  ..  ..\n",
       "189609       53       33       53       37           1  南山  龙华\n",
       "189610       50       32       49       35           1  南山  南山\n",
       "189611       49       47       47       48           1  龙华  龙华\n",
       "189612       48       65       37       65           1  光明  光明\n",
       "189613       56       63       48       66           1  龙华  光明\n",
       "\n",
       "[189614 rows x 7 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tem = sz_centroid[['LONCOL','LATCOL','qh']]\n",
    "tem.columns=['SLONCOL','SLATCOL','Sqh']\n",
    "OD = pd.merge(OD,tem,on=['SLONCOL','SLATCOL'])\n",
    "tem.columns=['ELONCOL','ELATCOL','Eqh']\n",
    "OD = pd.merge(OD,tem,on=['ELONCOL','ELATCOL'])\n",
    "OD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>centroid_x</th>\n",
       "      <th>centroid_y</th>\n",
       "      <th>qh</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>114.143157</td>\n",
       "      <td>22.577605</td>\n",
       "      <td>罗湖</td>\n",
       "      <td>POLYGON ((114.10006 22.53431, 114.09969 22.535...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>114.041535</td>\n",
       "      <td>22.546180</td>\n",
       "      <td>福田</td>\n",
       "      <td>POLYGON ((113.98578 22.51348, 113.98558 22.523...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>盐田</td>\n",
       "      <td>POLYGON ((114.22772 22.54290, 114.22643 22.543...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>宝安</td>\n",
       "      <td>MULTIPOLYGON (((113.81831 22.54676, 113.81816 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>光明</td>\n",
       "      <td>POLYGON ((113.98587 22.80304, 113.98605 22.802...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>114.356936</td>\n",
       "      <td>22.691020</td>\n",
       "      <td>坪山</td>\n",
       "      <td>POLYGON ((114.42581 22.66510, 114.42470 22.664...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>114.029687</td>\n",
       "      <td>22.686910</td>\n",
       "      <td>龙华</td>\n",
       "      <td>POLYGON ((114.10825 22.72368, 114.10785 22.723...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>113.930714</td>\n",
       "      <td>22.544103</td>\n",
       "      <td>南山</td>\n",
       "      <td>MULTIPOLYGON (((113.81491 22.39929, 113.80914 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>114.502205</td>\n",
       "      <td>22.571337</td>\n",
       "      <td>大鹏</td>\n",
       "      <td>POLYGON ((114.33439 22.62610, 114.33450 22.626...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>114.206790</td>\n",
       "      <td>22.695694</td>\n",
       "      <td>龙岗</td>\n",
       "      <td>POLYGON ((114.06646 22.59544, 114.06635 22.595...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   centroid_x  centroid_y  qh  \\\n",
       "0  114.143157   22.577605  罗湖   \n",
       "1  114.041535   22.546180  福田   \n",
       "2  114.270206   22.596432  盐田   \n",
       "3  113.851387   22.679120  宝安   \n",
       "4  113.926290   22.766157  光明   \n",
       "5  114.356936   22.691020  坪山   \n",
       "6  114.029687   22.686910  龙华   \n",
       "7  113.930714   22.544103  南山   \n",
       "8  114.502205   22.571337  大鹏   \n",
       "9  114.206790   22.695694  龙岗   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((114.10006 22.53431, 114.09969 22.535...  \n",
       "1  POLYGON ((113.98578 22.51348, 113.98558 22.523...  \n",
       "2  POLYGON ((114.22772 22.54290, 114.22643 22.543...  \n",
       "3  MULTIPOLYGON (((113.81831 22.54676, 113.81816 ...  \n",
       "4  POLYGON ((113.98587 22.80304, 113.98605 22.802...  \n",
       "5  POLYGON ((114.42581 22.66510, 114.42470 22.664...  \n",
       "6  POLYGON ((114.10825 22.72368, 114.10785 22.723...  \n",
       "7  MULTIPOLYGON (((113.81491 22.39929, 113.80914 ...  \n",
       "8  POLYGON ((114.33439 22.62610, 114.33450 22.626...  \n",
       "9  POLYGON ((114.06646 22.59544, 114.06635 22.595...  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sqh</th>\n",
       "      <th>Eqh</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>光明</td>\n",
       "      <td>光明</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>光明</td>\n",
       "      <td>南山</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>光明</td>\n",
       "      <td>宝安</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>光明</td>\n",
       "      <td>福田</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>光明</td>\n",
       "      <td>罗湖</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>龙岗</td>\n",
       "      <td>盐田</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>龙岗</td>\n",
       "      <td>福田</td>\n",
       "      <td>2646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>龙岗</td>\n",
       "      <td>罗湖</td>\n",
       "      <td>5805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>龙岗</td>\n",
       "      <td>龙华</td>\n",
       "      <td>3670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>龙岗</td>\n",
       "      <td>龙岗</td>\n",
       "      <td>40659</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sqh Eqh  Count\n",
       "0   光明  光明    141\n",
       "1   光明  南山      8\n",
       "2   光明  宝安    119\n",
       "3   光明  福田      3\n",
       "4   光明  罗湖      2\n",
       "..  ..  ..    ...\n",
       "83  龙岗  盐田     98\n",
       "84  龙岗  福田   2646\n",
       "85  龙岗  罗湖   5805\n",
       "86  龙岗  龙华   3670\n",
       "87  龙岗  龙岗  40659\n",
       "\n",
       "[88 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_qh = OD.groupby(['Sqh','Eqh'])['VehicleNum'].sum().rename('Count').reset_index()\n",
    "OD_qh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "tem = sz[['centroid_x','centroid_y','qh']]\n",
    "tem.columns = ['Sx','Sy','Sqh']\n",
    "OD_qh = pd.merge(OD_qh,tem,on=['Sqh'])\n",
    "tem.columns = ['Ex','Ey','Eqh']\n",
    "OD_qh = pd.merge(OD_qh,tem,on=['Eqh'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sqh</th>\n",
       "      <th>Eqh</th>\n",
       "      <th>Count</th>\n",
       "      <th>Sx</th>\n",
       "      <th>Sy</th>\n",
       "      <th>Ex</th>\n",
       "      <th>Ey</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>光明</td>\n",
       "      <td>光明</td>\n",
       "      <td>141</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>南山</td>\n",
       "      <td>光明</td>\n",
       "      <td>69</td>\n",
       "      <td>113.930714</td>\n",
       "      <td>22.544103</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>宝安</td>\n",
       "      <td>光明</td>\n",
       "      <td>214</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>福田</td>\n",
       "      <td>光明</td>\n",
       "      <td>54</td>\n",
       "      <td>114.041535</td>\n",
       "      <td>22.546180</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>罗湖</td>\n",
       "      <td>光明</td>\n",
       "      <td>21</td>\n",
       "      <td>114.143157</td>\n",
       "      <td>22.577605</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>盐田</td>\n",
       "      <td>盐田</td>\n",
       "      <td>727</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>福田</td>\n",
       "      <td>盐田</td>\n",
       "      <td>325</td>\n",
       "      <td>114.041535</td>\n",
       "      <td>22.546180</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>罗湖</td>\n",
       "      <td>盐田</td>\n",
       "      <td>870</td>\n",
       "      <td>114.143157</td>\n",
       "      <td>22.577605</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>龙华</td>\n",
       "      <td>盐田</td>\n",
       "      <td>39</td>\n",
       "      <td>114.029687</td>\n",
       "      <td>22.686910</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>龙岗</td>\n",
       "      <td>盐田</td>\n",
       "      <td>98</td>\n",
       "      <td>114.206790</td>\n",
       "      <td>22.695694</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sqh Eqh  Count          Sx         Sy          Ex         Ey\n",
       "0   光明  光明    141  113.926290  22.766157  113.926290  22.766157\n",
       "1   南山  光明     69  113.930714  22.544103  113.926290  22.766157\n",
       "2   宝安  光明    214  113.851387  22.679120  113.926290  22.766157\n",
       "3   福田  光明     54  114.041535  22.546180  113.926290  22.766157\n",
       "4   罗湖  光明     21  114.143157  22.577605  113.926290  22.766157\n",
       "..  ..  ..    ...         ...        ...         ...        ...\n",
       "83  盐田  盐田    727  114.270206  22.596432  114.270206  22.596432\n",
       "84  福田  盐田    325  114.041535  22.546180  114.270206  22.596432\n",
       "85  罗湖  盐田    870  114.143157  22.577605  114.270206  22.596432\n",
       "86  龙华  盐田     39  114.029687  22.686910  114.270206  22.596432\n",
       "87  龙岗  盐田     98  114.206790  22.695694  114.270206  22.596432\n",
       "\n",
       "[88 rows x 7 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_qh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 筛选不在同一个区域的\n",
    "OD_qh = OD_qh[OD_qh['Sqh'] != OD_qh['Eqh']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sqh</th>\n",
       "      <th>Eqh</th>\n",
       "      <th>Count</th>\n",
       "      <th>Sx</th>\n",
       "      <th>Sy</th>\n",
       "      <th>Ex</th>\n",
       "      <th>Ey</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>南山</td>\n",
       "      <td>光明</td>\n",
       "      <td>69</td>\n",
       "      <td>113.930714</td>\n",
       "      <td>22.544103</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>LINESTRING (113.93071 22.54410, 113.92629 22.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>宝安</td>\n",
       "      <td>光明</td>\n",
       "      <td>214</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>LINESTRING (113.85139 22.67912, 113.92629 22.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>福田</td>\n",
       "      <td>光明</td>\n",
       "      <td>54</td>\n",
       "      <td>114.041535</td>\n",
       "      <td>22.546180</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>LINESTRING (114.04153 22.54618, 113.92629 22.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>罗湖</td>\n",
       "      <td>光明</td>\n",
       "      <td>21</td>\n",
       "      <td>114.143157</td>\n",
       "      <td>22.577605</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>LINESTRING (114.14316 22.57761, 113.92629 22.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>龙华</td>\n",
       "      <td>光明</td>\n",
       "      <td>93</td>\n",
       "      <td>114.029687</td>\n",
       "      <td>22.686910</td>\n",
       "      <td>113.926290</td>\n",
       "      <td>22.766157</td>\n",
       "      <td>LINESTRING (114.02969 22.68691, 113.92629 22.7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>宝安</td>\n",
       "      <td>盐田</td>\n",
       "      <td>46</td>\n",
       "      <td>113.851387</td>\n",
       "      <td>22.679120</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>LINESTRING (113.85139 22.67912, 114.27021 22.5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>福田</td>\n",
       "      <td>盐田</td>\n",
       "      <td>325</td>\n",
       "      <td>114.041535</td>\n",
       "      <td>22.546180</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>LINESTRING (114.04153 22.54618, 114.27021 22.5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>罗湖</td>\n",
       "      <td>盐田</td>\n",
       "      <td>870</td>\n",
       "      <td>114.143157</td>\n",
       "      <td>22.577605</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>LINESTRING (114.14316 22.57761, 114.27021 22.5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>龙华</td>\n",
       "      <td>盐田</td>\n",
       "      <td>39</td>\n",
       "      <td>114.029687</td>\n",
       "      <td>22.686910</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>LINESTRING (114.02969 22.68691, 114.27021 22.5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>龙岗</td>\n",
       "      <td>盐田</td>\n",
       "      <td>98</td>\n",
       "      <td>114.206790</td>\n",
       "      <td>22.695694</td>\n",
       "      <td>114.270206</td>\n",
       "      <td>22.596432</td>\n",
       "      <td>LINESTRING (114.20679 22.69569, 114.27021 22.5...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>78 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sqh Eqh  Count          Sx         Sy          Ex         Ey  \\\n",
       "1   南山  光明     69  113.930714  22.544103  113.926290  22.766157   \n",
       "2   宝安  光明    214  113.851387  22.679120  113.926290  22.766157   \n",
       "3   福田  光明     54  114.041535  22.546180  113.926290  22.766157   \n",
       "4   罗湖  光明     21  114.143157  22.577605  113.926290  22.766157   \n",
       "5   龙华  光明     93  114.029687  22.686910  113.926290  22.766157   \n",
       "..  ..  ..    ...         ...        ...         ...        ...   \n",
       "82  宝安  盐田     46  113.851387  22.679120  114.270206  22.596432   \n",
       "84  福田  盐田    325  114.041535  22.546180  114.270206  22.596432   \n",
       "85  罗湖  盐田    870  114.143157  22.577605  114.270206  22.596432   \n",
       "86  龙华  盐田     39  114.029687  22.686910  114.270206  22.596432   \n",
       "87  龙岗  盐田     98  114.206790  22.695694  114.270206  22.596432   \n",
       "\n",
       "                                             geometry  \n",
       "1   LINESTRING (113.93071 22.54410, 113.92629 22.7...  \n",
       "2   LINESTRING (113.85139 22.67912, 113.92629 22.7...  \n",
       "3   LINESTRING (114.04153 22.54618, 113.92629 22.7...  \n",
       "4   LINESTRING (114.14316 22.57761, 113.92629 22.7...  \n",
       "5   LINESTRING (114.02969 22.68691, 113.92629 22.7...  \n",
       "..                                                ...  \n",
       "82  LINESTRING (113.85139 22.67912, 114.27021 22.5...  \n",
       "84  LINESTRING (114.04153 22.54618, 114.27021 22.5...  \n",
       "85  LINESTRING (114.14316 22.57761, 114.27021 22.5...  \n",
       "86  LINESTRING (114.02969 22.68691, 114.27021 22.5...  \n",
       "87  LINESTRING (114.20679 22.69569, 114.27021 22.5...  \n",
       "\n",
       "[78 rows x 8 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OD_qh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制OD图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapely.geometry import LineString"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "OD_geo_qh = gpd.GeoDataFrame(OD_qh)\n",
    "OD_geo_qh['geometry'] = OD_geo_qh.apply(lambda r: LineString([[r['Sx'],r['Sy']] , [r['Ex'],r['Ey']] ]),axis=1)\n",
    "OD_geo_qh = OD_geo_qh.sort_values(by='Count')\n",
    "OD_geo_qh.plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2500x2000 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1,(10,8),dpi=250)\n",
    "ax = plt.subplot(1,1,1)\n",
    "plt.sca(ax)\n",
    "\n",
    "#color bar 配置\n",
    "vmax = OD_geo_qh['Count'].max()\n",
    "cmapname = 'autumn_r'\n",
    "cmap = matplotlib.cm.get_cmap(cmapname)\n",
    "\n",
    "#绘制\n",
    "sz.plot(ax=ax,edgecolor = (0,0,0,1),facecolor = (0,0,0,0),linewidths=0.7)\n",
    "OD_geo_qh.plot(ax=ax,column = 'Count',vmax = vmax,vmin = 0,cmap = cmap,linewidth = 5*(OD_geo_qh['Count']/OD_geo_qh['Count'].max()) )\n",
    "\n",
    "\n",
    "# 配置\n",
    "plt.axis('off') \n",
    "plt.imshow([[0,vmax]], cmap=cmap)\n",
    "cax = plt.axes([0.08, 0.4, 0.02, 0.3])\n",
    "plt.colorbar(cax=cax)\n",
    "ax.set_xlim(113.6,114.8)\n",
    "ax.set_ylim(22.4,22.9)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "4ce0e62306dd6a5716965d4519ada776f947e6dfc145b604b11307c10277ef29"
  },
  "kernelspec": {
   "display_name": "Python 3.8.9 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.9"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
